Package: garnett
Type: Package
Title: Automated cell type classification
Version: 0.2.8
Author: c(
    person("Hannah", "Pliner", email = "hpliner@uw.edu", role = c("aut", "cre")), 
    person("Cole", "Trapnell", email = "coletrap@uw.edu", role = c("aut")))
Maintainer: Hannah Pliner <hpliner@uw.edu>
Description: Garnett facilitates automated cell type classification from 
    single-cell expression (and other genomic) data. Garnett works by taking 
    single-cell data, along with a cell type definition (marker) file, and 
    training a regression-based classifier. Once a classifier is trained for a 
    tissue/sample type, it can be applied to classify future datasets from 
    similar tissues.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), monocle3
Imports: AnnotationDbi (>= 1.44.0), assertthat (>= 0.2.0), Biobase (>=
        2.42.0), DelayedArray (>= 0.8.0), DelayedMatrixStats (>=
        1.4.0), doParallel (>= 1.0.14), forcats (>= 0.3.0), ggplot2 (>=
        3.1.0), ggrepel (>= 0.8.0), glmnet (>= 2.0-16), igraph (>=
        1.2.2), irlba (>= 2.3.2), Matrix (>= 1.2-15), methods,
        org.Hs.eg.db (>= 3.7.0), org.Mm.eg.db, plyr (>= 1.8.4), RANN
        (>= 2.6), reshape2 (>= 1.4.3), rly (>= 1.6.2), stringr (>=
        1.3.1), viridis (>= 0.5.1)
Suggests: testthat, knitr, rmarkdown, vdiffr
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Built: R 4.0.0; ; 2020-05-13 21:20:56 UTC; unix
